The electronic structure, atomistic simulation, and experimental data work together for the parametrization of an efficient CG model. In recent years, data-driven machine learning techniques have ...

An international team led by Einstein Professor Cecilia Clementi in the Department of Physics at Freie Universität Berlin has introduced CGSchNet, a machine-learned coarse-grained (CG) model that can ...

Researchers at The University of Osaka have developed a computer graphics (CG) model, NeuraLeaf, capable of representing a wide variety of plant species and their deformations using a single, unified ...

CGSchNet, a fast machine-learned model, simulates proteins with high accuracy, enabling drug discovery and protein engineering for cancer treatment. Operating significantly faster than traditional all ...